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Simulating Light-Weight-Cryptography Implementation for loT Healthcare Data Security Applications

机译:用于批量保健数据安全应用程序的浅色加密实现

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摘要

Short period monitoring and emergency notification of healthcare signals is becoming affordable with existence of internet of things (IoT) support. However, IoT does not prevent challenges that may hinder the appropriate safe spread of medical solutions. Confidentiality of data is vital, making a real fear requesting cryptography. The limitations in memory, computations processing, power consumptions, and small-size devices contradict the robust encryption process asking for help of low-weight-cryptography to handle practically. This article presents a comparative analysis of performance evaluation of three trusted candidate encryption algorithms, namely AES, SPECK and SIMON, which are simulated and compared in details to distinguish who has the best behaviour to be nominated for a medical application. These encryption algorithms are implemented and evaluated in regard to the execution time, power consumption, memory occupation and speed. The implementation is carried out using the Cooja simulator running on Contiki operating system showing interesting attractive results.
机译:短时间监测和医疗保健信号的紧急通知与事物互联网(物联网)支持的存在变得负担得起。然而,物联网不会阻止可能阻碍医疗解决方案的适当安全传播的挑战。数据的保密性是至关重要的,是真正的恐惧请求加密。内存,计算处理,功耗和小型设备的限制抵消了鲁棒的加密过程,询问低权重造影的帮助实际上处理。本文提出了对三个可信候选加密算法的绩效评估的比较分析,即AES,Speck和Simon的绩效评估,这些绩效评估是模拟和比较的详细信息,以区分谁具有用于医疗应用的最佳行为。在执行时间,功耗,存储器占用和速度方面实现和评估这些加密算法。使用在Contiki操作系统上运行的Cooja模拟器来执行实施,显示有趣的有吸引力的结果。

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